Africa's Strategic Pivots: From China's Rise to Tradeoff Between Battling Covid-19 and Violent Extremism

Spurred by the expansive shared prosperity of its Belt and Road Initiative, China was winning the economic component of its Great Power Competition with the United States in Africa. Then Covid-19 spread to Africa in February 2020. By spring Africa's honeymoon with China was over. China's Covid-19 related discrimination against Africa as well as disruption in both the supply chain and the Belt and Road Initiative weakened bilateral ties. While nobody expects China to lose its place as Africa's biggest bilateral lending and trading partner, Sino-African ties are strained. Not surprisingly, Africa turned inward and focused on its fight against the invisible Covid-19 enemy. But Africa soon found itself in a new tradeoff between battling Covid-19 and violent extremism. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

COVID-19 Vaccine Uptake and Hesitancy in a Latino Agricultural Community.

Amid the COVID-19 pandemic, vaccine hesitancy is believed to be among the top global health threats. U.S. Latinos have disproportionately been affected by the pandemic and have higher COVID-19 vaccine hesitancy. This study applied the Vaccine Hesitancy Determinants Matrix to understand COVID-19 vaccine hesitancy in a Latino agricultural community. Surveys were conducted with 180 adults from a Migrant Community Health Center to measure pandemic experiences and hesitancy factors across three categories: individual and group factors, vaccine/vaccination-specific factors, and contextual factors. Approximately 16% of participants reported having tested positive for COVID-19, 90% endorsed loss of income, and 47% reported their mental health was affected. Only 46% received a COVID-19 vaccine. Common individual vaccine hesitancy factors included worry about side effects, worry that vaccines cause infection, and concern that side effects would be worse than the virus. Vaccine/vaccination-specific factors included concern about how quickly COVID-19 vaccines were developed and concern about there being insufficient research on their effectiveness, potential risks, and side effects. Common contextual factors included religious beliefs and political mistrust. Logistic regression results indicated that subjects who tested positive for COVID-19, or had a coworker who tested positive were more likely to get vaccinated. The odds ratio of being vaccinated increased with age. Subjects who endorsed concern that vaccine side effects were worse than the virus were less likely to be vaccinated. Results highlight that there are health literacy gaps among Latino communities such as interpretation of vaccine efficacy and safety to gain a more accurate understanding of side effects.

Older Black Americans During COVID-19: Race and Age Double Jeopardy.

The concept of "double jeopardy"-being both older and Black-describes how racism and ageism together shape higher risks for coronavirus exposure, COVID-19 disease, and poor health outcomes for older Black adults. Black people and older adults are the two groups most affected by COVID-19 morbidity and mortality. Double jeopardy, as a race- and age-informed analysis, demonstrates how Black race and older age are associated with practices and policies that shape key life circumstances (e.g., racial residential segregation, family and household composition) and resources in ways that embody elevated risk for COVID-19. The concept of double jeopardy underscores long-standing race- and age-based inequities and social vulnerabilities that produce devastating COVID-19 related deaths and injuries for older Black adults. Developing policies and actions that address race- and age-based inequities and social vulnerabilities can lower risks and enhance protective factors to ensure the health of older Black Americans during the COVID-19 pandemic.

Lessons Learned From a Qualitative COVID-19 Investigation Among Essential Workers With Limited English Proficiency in Southwest Kansas.

In this commentary, we briefly describe our methodology in conducting a remote qualitative investigation with essential workers from southwest Kansas, and then describe some key considerations, challenges, and lessons learned in recruiting and conducting interviews remotely. From August 4, 2020 through August 26, 2020, Centers for Disease Control and Prevention (CDC) staff conducted five phone interviews with culturally and linguistically diverse employees in southwest Kansas to understand COVID-19 knowledge, attitudes, and practices and communication preferences. Our experience details the potential challenges of the federal government in recruiting individuals from these communities and highlights the possibilities for more effectively engaging health department and community partners to support investigation efforts. Optimizing recruitment strategies with additional participation from community partners, developing culturally and linguistically appropriate data collection tools, and providing supportive resources and services may augment participation from refugee, immigrant, and migrant (RIM) communities in similar remote investigations.

Stroke Among Patients Hospitalized With COVID-19: Results From the American Heart Association COVID-19 Cardiovascular Disease Registry.

BACKGROUND AND PURPOSE: Coronavirus disease 2019 (COVID-19) may be associated with increased risk for ischemic stroke. We present prevalence and characteristics of strokes in patients with laboratory-confirmed severe acute respiratory syndrome coronavirus-2 infection enrolled in the American Heart Association COVID-19 Cardiovascular Disease Registry. METHODS: In this quality improvement registry study, we examined demographic, baseline clinical characteristics, and in-hospital outcomes among hospitalized COVID-19 patients. The primary outcomes were ischemic stroke or transient ischemic attack (TIA) and in-hospital death. RESULTS: Among 21 073 patients with COVID-19 admitted at 107 hospitals between January 29, 2020, and November 23, 2020, 160 (0.75%) experienced acute ischemic stroke/TIA (55.3% of all acute strokes) and 129 (0.61%) had other types of stroke. Among nonischemic strokes, there were 44 (15.2%) intracerebral hemorrhages, 33 (11.4%) subarachnoid hemorrhages, 21 (7.3%) epidural/subdural hemorrhages, 2 (0.7%) cerebral venous sinus thromboses, and 24 (8.3%) strokes not otherwise classified. Asians and non-Hispanic Blacks were overrepresented among ischemic stroke/TIA patients compared with their overall representation in the registry, but adjusted odds of stroke did not vary by race. Median time from COVID-19 symptom onset to ischemic stroke was 11.5 days (interquartile range, 17.8); median National Institutes of Health Stroke Scale score was 11 (interquartile range, 17). COVID-19 patients with acute ischemic stroke/TIA had higher prevalence of hypertension, diabetes, and atrial fibrillation compared with those without stroke. Intensive care unit admission and mechanical ventilation were associated with higher odds of acute ischemic stroke/TIA, but older age was not a predictor. In adjusted models, acute ischemic stroke/TIA was not associated with in-hospital mortality. CONCLUSIONS: Ischemic stroke risk did not vary by race. In contrast to the association between older age and death from COVID-19, ischemic stroke risk was the highest among middle-aged adults after adjusting for comorbidities and illness severity, suggesting a potential mechanism for ischemic stroke in COVID-19 independent of age-related atherosclerotic pathways.

High Prevalence of SARS-CoV-2 in an Indigenous Community of the Colombian Amazon Region.

Introduction. COVID-19 is a pathology caused by the SARS-CoV-2 virus. The World Health Organization (WHO) has reported more than 225 million cases and 4.5 million deaths worldwide. Objective: To describe the seropositivity, spatial distribution, and clinical and sociodemographic variables of SARS-CoV-2 in a community of the Colombian Amazon region. Methods. In December 2020, a cross-sectional observational study was carried out in a population located in the Colombian Amazon in the municipality of Mitú. Sociodemographic and clinical data were taken. Besides, 589 blood samples were taken, and an antibody detection was carried out with an ELISA and a recombinant protein N antigen of SARS-CoV-2. Results. A seropositivity of 57.6% was observed. The highest proportion of the infection is located in inter-municipal transport zones. The bivariate analysis did not show differences in the SARS-CoV-2 infection rate concerning the variables sex, age range, and the presence of comorbidities (p > 0.05). The bivariate and multivariate analysis showed that being symptomatic and presenting neurological manifestations of the upper respiratory tract are clinical variables associated with SARS-CoV-2 infection (p < 0.05). One of the causes of this virus's high spread in this community could be that 53.3% of the people were asymptomatic. Conclusions. Our data showed a high burden and transmission of SARS-CoV-2 in the indigenous community. This could be linked to cultural behaviors and the high infection rate in asymptomatic patients.

Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study.

BACKGROUND: Since the beginning of the COVID-19 pandemic in late 2019, its far-reaching impacts have been witnessed globally across all aspects of human life, such as health, economy, politics, and education. Such widely penetrating impacts cast significant and profound burdens on all population groups, incurring varied concerns and sentiments among them. OBJECTIVE: This study aims to identify the concerns, sentiments, and disparities of various population groups during the COVID-19 pandemic through a cross-sectional study conducted via large-scale Twitter data mining infoveillance. METHODS: This study consisted of three steps: first, tweets posted during the pandemic were collected and preprocessed on a large scale; second, the key population attributes, concerns, sentiments, and emotions were extracted via a collection of natural language processing procedures; third, multiple analyses were conducted to reveal concerns, sentiments, and disparities among population groups during the pandemic. Overall, this study implemented a quick, effective, and economical approach for analyzing population-level disparities during a public health event. The source code developed in this study was released for free public use at GitHub. RESULTS: A total of 1,015,655 original English tweets posted from August 7 to 12, 2020, were acquired and analyzed to obtain the following results. Organizations were significantly more concerned about COVID-19 (odds ratio [OR] 3.48, 95% CI 3.39-3.58) and expressed more fear and depression emotions than individuals. Females were less concerned about COVID-19 (OR 0.73, 95% CI 0.71-0.75) and expressed less fear and depression emotions than males. Among all age groups (ie, ≤18, 19-29, 30-39, and ≥40 years of age), the attention ORs of COVID-19 fear and depression increased significantly with age. It is worth noting that not all females paid less attention to COVID-19 than males. In the age group of 40 years or older, females were more concerned than males, especially regarding the economic and education topics. In addition, males 40 years or older and 18 years or younger were the least positive. Lastly, in all sentiment analyses, the sentiment polarities regarding political topics were always the lowest among the five topics of concern across all population groups. CONCLUSIONS: Through large-scale Twitter data mining, this study revealed that meaningful differences regarding concerns and sentiments about COVID-19-related topics existed among population groups during the study period. Therefore, specialized and varied attention and support are needed for different population groups. In addition, the efficient analysis method implemented by our publicly released code can be utilized to dynamically track the evolution of each population group during the pandemic or any other major event for better informed public health research and interventions.